| Evaluation the Influence of Three Treatments on Yield and Grain Quality of Winter Wheat Using Remote Sensing in Moscow Region, Russia |
| Paper ID : 1143-ICRSSSA |
| Authors |
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Nazih Yacer Rebouh *1, Petr M Polityko2, Peter A Dokukin3, Dmitry Kucher4, Olga kucher5, Solomon Okeke4, Mohamed Elsayed Said6 1Department of Environmental Management, Peoples’ Friendship University of Russia (RUDN University),
6 Miklukho-Maklaya Street, 117198 Moscow, Russia 2GNU Moscow Research Institute of Agriculture “Nemchinovka”, 143026 Moscow, Russia 3Department of Environmental Management, Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Street, 117198 Moscow, Russia 4Department of Environmental Management, Institute of Environmental Engineering, People’s Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Street, 117198 Moscow, Russia. 51. Department of Environmental Management, Peoples’ Friendship University of Russia (RUDN University),117198 Moscow, Russiа 2. Moscow State Institute of International Relations, MGIMO-University, Russia 6National Authority for Remote Sensing and Space Sciences, Cairo, 11843, Egypt |
| Abstract |
| Wheat is among the staple cereal crops cultivated worldwide, the need for this product has increased due to the burgeoning population. However, the productivity improvement of this crop is the main task of agriculture. The current paper aimed at investigating the influence of three treatments: basic, intensive, and highly intensive on wheat growth in the Moscow region, 30 km from the capital using vegetation indice (NDVI). The treatments contained fertilizers, fungicides, insecticides, herbicides, and growth regulators at different combinations and concentrations. Three winter wheat varieties were studied: Moscovckaya 40 variety (V1), Nemchinovckaya 17 variety (V2), and Nemchinovckaya 85 variety (V3). Morever, a Sentinel-2 with a resolution of 10 meters was used to monitor the change in the wheat crop during 2019. Yield performances, grain quality (measured through protein content), and Normalized Difference Vegetation Index (NDVI) were determined according to the tested treatments. The results showed that the high intensive treatment (T3) recorded high values in terms of wheat yield (3 t/ha) more than basic treatment (T1) and grain quality was superiore. Moreso, reasonable correlations between normalized difference vegetation index (NDVI), wheat yield, and grain protein content were noted R=0.6 and R=0.7, respectively. The obtained results open real opportunities for crop managment evaluation using remote sensing. |
| Keywords |
| Agro-ecological zones, Grain yield, Moscow region, Sentinel-2, Wheat crop management. |
| Status: Accepted (Oral Presentation) |
